High throughput detection of genomic copy number variations

a technology of copy number variation and detection method, which is applied in the direction of material testing goods, biochemistry apparatus and processes, instruments, etc., can solve the problems of inability to identify the exact change in sequence with this method, disadvantages of on-chip extension/amplification methods compared to differential hybridization based methods, and the need for amplification and purification reactions, etc., to achieve high specificity and sensitivity. sensitivity

Inactive Publication Date: 2012-08-23
STEF MARIANNE +3
View PDF0 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

[0020]The present method provides a computer implemented sequential method of processing and interpreting the experimental data generated by genotyping nucleic acid-chips or nucleic acid-beads based on detection of a hybridization signal. The method produces high levels of specificity, sensitivity and reproducibility, which allow the DNA-chips and beads developed on the basis of this method to be used, for example, for sensitive and reliable routine clinical genetic diagnosis.

Problems solved by technology

However, the exact change in sequence cannot be identified with this method; sequencing is later necessary in order to identify the mutation.
The need for amplification and purification reactions presents disadvantages for the on-chip extension / amplification methods compared to the differential hybridization based methods.
However, differential hybridization does not produce as high specificity or sensitivity as methods associated with amplification on glass slides.
The problems of existing DNA-chips and beads in simultaneously detecting the presence or absence of a high number of genetic variations in a sensitive, specific and reproducible manner has prevented the application of DNA-chips for routine use in clinical diagnosis, of human disease.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • High throughput detection of genomic copy number variations
  • High throughput detection of genomic copy number variations
  • High throughput detection of genomic copy number variations

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028]The present invention relates to an in vitro method of detecting genetic variations in an individual, specifically variations (e.g. duplications, multiple copies, deletion or loss of copies) in sequence segments in the genome. The inventors have developed a sensitive, specific and reproducible computer implemented method for simultaneously detecting and characterizing genetic variations in a genome. The inventors also developed methods for designing oligonucleotides used for carrying out the method of detecting genetic variations. Specifically, using the analysis methods described herein, one can analyze copy number variations (CNV) in a genome. The method is also useful for the development of products for genotyping these CNV. For example, in one embodiment, one can perform the method of genotyping according to the methods of the present invention to detect deletions of 1, 2 or 3 bases on AFFYMETRIX® re-sequencing chips.

[0029]The method is unique in that it is based on a comb...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

PropertyMeasurementUnit
sizeaaaaaaaaaa
densityaaaaaaaaaa
densitiesaaaaaaaaaa
Login to view more

Abstract

The invention relates to methods and algorithms for detecting and analysis of copy number variances in a genetic segment. The invention also relates to a computer implemented sequential method of processing and interpreting experimental data generated by genotyping nucleic acid-chips or nucleic acid-beads based on detection of a hybridization signal.

Description

CROSS REFERENCE TO RELATED APPLICATION[0001]This application claims benefit under 35 U.S.C. §119(e) of the U.S. provisional application No. 61 / 239,872 filed Sep. 4, 2009, and No. 61 / 266,582 filed Dec. 4, 2009, the contents of which are expressly incorporated herein by reference in their entirety.BACKGROUND OF INVENTION[0002]So-called “DNA-chips”, also named “micro-arrays”, “DNA-arrays” or “DNA bio-chips”, and collections of beads with attached nucleic acids, are systems that functional genomics uses for large scale studies. One can also tailor these systems for specific mutation detection or detection of several mutations at the same time and thus for the use in functional genomics which studies the changes in the expression of genes due to environmental factors and to genetic characteristics of an individual.[0003]Gene sequences present small inter-individual variations at one unique nucleotide called an SNP (“single nucleotide polymorphism”), which in a small percentage are involv...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(United States)
IPC IPC(8): G06F19/18G06F19/22G06F19/20
CPCC12Q1/6837G06F19/18G06F19/20G06F19/24C12Q2545/113C12Q2537/165C12Q2537/157G16B20/00G16B25/00G16B40/00
Inventor STEF, MARIANNETEJEDOR, DIEGOMARTINEZ, ANTONIOSIMON, LAUREANO
Owner STEF MARIANNE
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products